The analyzed latent-class trajectory models are an extension of growth mixture models (GMM). The estimation bias of the model parameters and the recoverability of the number of latent classes are assessed under various data-generating models and settings by means of a simulation study. Furthermore...
Arthritis Research & Therapy (2021) 23:203 https://doi.org/10.1186/s13075-021-02584-x RESEARCH ARTICLE Open Access Distinct patterns of disease activity over time in patients with active SLE revealed using latent class trajectory models John A. Reynolds1,2, Jennifer Prattley3, Nophar Geifman...
library(LCTMtools) data(bmi_long, package = "LCTMtools" ) # Use the hlme function from the 'lcmm' R package to fit a 2 class latent class trajectory model set.seed(100) library(lcmm) model2classes <- lcmm::hlme(fixed = bmi ~ age + I(age^2), mixture= ~ age, random = ~ ...
where ηijk=β0k+β1ktij and yij denotes the response at observation j for individual i; tij denotes the time (e.g., from baseline) of the ijth observation; β0k and β1k denote the intercept term and the trajectory slope for class k respectively; and σk2 is the class-k variance...
The aim of this study was to utilize bootstrapping to investigate the robustness of latent class trajectories and risk factors of depressive symptoms among
An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2, 302Á317. Muthe´n, B., & Muthe´n, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with la...
We use a latent class growth analysis framework to identify five qualitatively distinct social class trajectory groups between 1980 and 2000 for male respondents to the 1970 British Cohort Study. We model the antecedents of trajectory group membership via multinomial logistic regression. Non-response, ...
My entropy of the trajectory model is > .90 so I could perhaps also save and use most likely class membership (instead of 3-step approach) and use a multigroup model. Thank you in advance! Best, Tessa Bengt O. Muthen posted on Monday, August 20, 2018 - 2:29 pm Look at Section ...
Using only single cell gene expression data, we deployed our supervised latent factor model to quantify a subject’s position along a disease pseudo-progression trajectory, from healthy to late-stage AD. The biological validity of this trajectory is supported by its high correlation with postmortem ...
where ηijk=β0k+β1ktij and yij denotes the response at observation j for individual i; tij denotes the time (e.g., from baseline) of the ijth observation; β0k and β1k denote the intercept term and the trajectory slope for class k respectively; and σk2 is the class-k variance...